[HTML][HTML] Towards automated coronary artery segmentation: A systematic review

R Gharleghi, N Chen, A Sowmya, S Beier - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective: Vessel segmentation is the first processing stage of 3D
medical images for both clinical and research use. Current segmentation methods are …

[HTML][HTML] A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition

ES Salama, RA El-Khoribi, ME Shoman… - Egyptian Informatics …, 2021 - Elsevier
Nowadays, human emotion recognition is a mandatory task for many human machine
interaction fields. This paper proposes a novel multi-modal human emotion recognition …

Enhanced Arnold's cat map-AES encryption technique for medical images

MAW Shalaby, MT Saleh… - 2020 2nd novel …, 2020 - ieeexplore.ieee.org
Human's health information is considered momentous information, which is represented in
medical systems. The amount of medical image information available for analysis is …

[PDF][PDF] Supervised fuzzy c-means techniques to solve the capacitated vehicle routing problem.

MAW Shalaby, AR Mohammed… - Int. Arab J. Inf. Technol., 2021 - academia.edu
Fuzzy C-Means (FCM) clustering technique is among the most effective partitional clustering
algorithms available in the literature. The Capacitated Vehicle Routing Problem (CVRP) is …

Modified fuzzy c-means clustering approach to solve the capacitated vehicle routing problem

MAW Shalaby, AR Mohammed… - 2020 21st International …, 2020 - ieeexplore.ieee.org
Fuzzy C-Means clustering is among the most successful clustering techniques available in
the literature. The capacitated vehicle routing problem (CVRP) is one of the most studied NP …

A neuro-fuzzy based approach for energy consumption and profit operation forecasting

MAW Shalaby, NR Ortiz, HH Ammar - Proceedings of the International …, 2020 - Springer
In recent years, the massive growth in the scale of data is being a key factor in the needed
data processing approaches. The efficiency of the algorithms of knowledge extraction …

Hybrid self-balancing and object tracking robot using artificial intelligence and machine vision

SR Garces, MY Beb, A Boubakari… - 2020 2nd Novel …, 2020 - ieeexplore.ieee.org
Over the past decade, mobile autonomous robots have been widely used efficiently for
different applications. Recently, self-balancing robots attracted more attention and showed …

FCM-based approach for locating visible video watermarks

AA Embaby, M A. Wahby Shalaby, KM Elsayed - Symmetry, 2020 - mdpi.com
The increased usage demand for digital multimedia has induced significant challenges
regarding copyright protection, which is the copy control and proof of ownership. Digital …

Modeling and control of 3-omni wheel Robot using PSO optimization and Neural Network

MA Saleh, MA Soliman, HH Ammar… - 2020 International …, 2020 - ieeexplore.ieee.org
Omni mobile robots are one of the mobile robots that interact with humans in many areas
where it is needed to be collaborative and accurate. Committing robotics with artificial …

Modified Arnold's Cat Map-RC4 Encryption Technique for Medical Images.

MT Saleh, MAW Shalaby… - Egyptian Computer …, 2020 - search.ebscohost.com
Abstract Information security has become a requirement these days, there is this highly
sensitive data needs to be transmitted securely over networks to prevent data modification …